Robust Design of Power System Stabilizer Using Taguchi Technique and Particle Swarm Optimization

The tuning of PSS parameters for satisfactory power system response over a wide range of operating conditions requires an efficient robust optimization technique. This paper presents a novel concept of integrating the Taguchi robust design principle with particle swarm optimization (PSO) for the PSS design. The objective is to build an intrinsic robustness in the design of PSS over a wide range of power system operating conditions. The proposed approach employs signal to noise ratio and orthogonal array concepts of Taguchi design to determine the robust optimal setting of PSS parameters using PSO. The robustness of the PSS designed is tested through No-Way analysis of variance. Further, the effectiveness of the robust PSS is illustrated through time-domain simulations as it is applied to a single machine infinite bus system under wide range of loading conditions.

[1]  L. N. Harris,et al.  Taguchi techniques for quality engineering, Philip J. Ross, Mcgraw-hill book company, 1988 , 1989 .

[2]  Manisha Dubey,et al.  Design of Genetic-Algorithm Based Robust Power System Stabilizer , 2008 .

[3]  T. C. Yang,et al.  Applying H∞ optimisation method to power system stabiliser design part 1: single-machine infinite-bus systems , 1997 .

[4]  Hardiansyah,et al.  A robust H ¿ power system stabilizer design using reduced-order models , 2006 .

[5]  Naoto Yorino,et al.  A design for robust power system stabilizer by means of H∞ control and particle swarm optimization method , 2008 .

[6]  M. A. Abido,et al.  Optimal multiobjective design of robust power system stabilizers using genetic algorithms , 2003 .

[7]  Narayana Prasad Padhy,et al.  Robust Power System Stabilizer Design Using Particle Swarm Optimization Technique , 2008 .

[8]  Young-Hyun Moon,et al.  Low-order robust power system stabilizer for single-machine systems: An LMI approach , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[9]  Naoto Yorino,et al.  A Design for Robust Power System Stabilizer by Means of H.INF. Control and Particle Swarm Optimization Method , 2006 .

[10]  Michael N. Vrahatis,et al.  On the computation of all global minimizers through particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[11]  P. Kundur,et al.  Power system stability and control , 1994 .

[12]  Madhan Shridhar Phadke,et al.  Quality Engineering Using Robust Design , 1989 .

[13]  P. Kundur,et al.  Application of Power System Stabilizers for Enhancement of Overall System Stability , 1989, IEEE Power Engineering Review.